How does Amharic Translation API work?
- Statistical Machine Translation. This method translates text by analyzing statistical models derived from a large corpus of text data to determine the best translation.
- Neural Machine Translation. Neural networks are employed to provide context-aware translations by modeling the entire sentences, resulting in more fluid and natural translations.
- Rule-Based Translation. This approach relies on a set of linguistic rules and dictionaries to perform translations, offering high accuracy for structured phrases.
- Hybrid Translation. It combines statistical and neural methods to leverage the strengths of both, improving translation quality and reliability.